2023
DOI: 10.1093/g3journal/jkad098
|View full text |Cite
|
Sign up to set email alerts
|

CrusTome: a transcriptome database resource for large-scale analyses across Crustacea

Abstract: Transcriptomes from nontraditional model organisms often harbor a wealth of unexplored data. Examining these data sets can lead to clarity and novel insights in traditional systems, as well as to discoveries across a multitude of fields. Despite significant advances in DNA sequencing technologies and in their adoption, access to genomic and transcriptomic resources for nontraditional model organisms remains limited. Crustaceans, for example, being among the most numerous, diverse, and widely distributed taxa o… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
9
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 7 publications
(9 citation statements)
references
References 85 publications
(143 reference statements)
0
9
0
Order By: Relevance
“… Taxonomic distribution of insulin receptor (InsR), epidermal growth factor receptor (EGFR), fibroblast growth factor receptor (FGFR), and platelet-derived growth factor/vascular endothelial growth factor receptor (PVR) sequences identified in the CrusTome 1.0 database and included in the final phylogenies ( 40 ). RTK sequences previously deposited in Genbank are not included.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“… Taxonomic distribution of insulin receptor (InsR), epidermal growth factor receptor (EGFR), fibroblast growth factor receptor (FGFR), and platelet-derived growth factor/vascular endothelial growth factor receptor (PVR) sequences identified in the CrusTome 1.0 database and included in the final phylogenies ( 40 ). RTK sequences previously deposited in Genbank are not included.…”
Section: Resultsmentioning
confidence: 99%
“…Protein reference sequences for each receptor were collected from the NCBI GenBank database with a focus on arthropod sequences when available ( Supplementary Material 1 ). Four iterative BLAST searches using these reference sequences against the CrusTome database (v.0.1.0) were then conducted to ensure that all possible matching sequences were found for a comprehensive phylogenetic analysis ( 40 , 57 ). Using Multiple Alignment using Fast Fourier Transform (MAFFT; v.7.490; ( 58 ), the BLAST search hits and the original reference sequence dataset were aligned with settings optimized for multi-domain proteins (as per ( 59 ) and to place a higher importance on accuracy rather than speed ( -dash-originalseqonly -genfpair -maxiterate 1000 ).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Therefore, it is likely that receptors to the CHH superfamily are ancient and that their lineage can be traced back to ecdysozoan ancestors in the Cambrian Period. Here we report the use of CrusTome, a multi-species, multi-tissue, transcriptome database of 201 assembled mRNA transcriptomes from 189 crustaceans and 12 ecdysozoan outgroups ( 41 ), to in silico deorphanize candidate CHH family Class A GPCRs, relying on sequence homology to the three B. mori ITP receptors. Putative homologs of BNGR-A2, BNGR-A24, and BNGR-A34 were identified in transcriptomes across Crustacea and annotated as CHH family receptor candidates (CFRCs).…”
Section: Introductionmentioning
confidence: 99%
“…In fact, few neuropeptide receptors have been deorphanized in crustaceans ( 12 14 ), lagging behind functional neuropeptide GPCR deorphanization in insects ( 15 ). New databases which were recently developed including CrustyBase ( 16 ) and CrusTome ( 17 ) provide ample opportunity to bridge this gap by exploring expression patterns and phylogenetic analyses of genes across multiple pancrustacean species. Therefore, any measure that appreciably narrows the focus by reducing the relevant search space is of potential worth.…”
Section: Introductionmentioning
confidence: 99%